
import numpy as np
import pandas as pd
import plotly.offline as pyo
import plotly.graph_objects as go
pyo.init_notebook_mode()

dfEconomy = pd.read_csv('Modified Data/EconomicIndicators.csv')


with pd.option_context('display.max_rows', None, 'display.max_columns', None):
    display(dfEconomy)


fig = go.Figure()
fig.add_trace(go.Scatter(x=dfEconomy.Date, y=dfEconomy['GDP (current US$)'], name= 'GDP', line={'color': 'blue', 'width': 2}))
fig.add_trace(go.Scatter(x=dfEconomy.Date, y=dfEconomy['GNI (current US$)'], name= 'GNI', line={'color': '#064d02', 'width': 2}))
fig.add_trace(go.Scatter(x=dfEconomy.Date, y=dfEconomy['GDP (constant 2015 US$)'], name= 'GDP (Constant 2015)', line={'color': 'cyan', 'width': 2}))
fig.add_trace(go.Scatter(x=dfEconomy.Date, y=dfEconomy['GNI (constant 2015 US$)'], name= 'GNI (Constant 2015)', line={'color': '#90ee90', 'width': 2}))
fig.update_layout(
    title="Nominal and Constant GDP and GNI",
    xaxis_title="Year",
    yaxis_title="Value in USD $")
fig.show()


fig2 = go.Figure()
fig2.add_trace(go.Scatter(x=dfEconomy.Date, y=dfEconomy['GDP per capita (current US$)'], name='GDP per capita', line={'color': 'blue', 'width': 2}))
fig2.add_trace(go.Scatter(x=dfEconomy.Date, y=dfEconomy['GDP per capita (constant 2015 US$)'], name='GDP per capita (Constant 2015)', line={'color': 'cyan', 'width': 2}))
fig2.update_layout(
    title="Nominal and Constant GDP per capita",
    xaxis_title="Year",
    yaxis_title="Value in USD $"
)
fig2.show()


fig3 = go.Figure()
fig3.add_trace(go.Scatter(x=dfEconomy.Date, y=dfEconomy['GDP growth (annual %)'], name='GDP', mode='lines+markers', line={'color': 'blue', 'width': 2}))
fig3.add_trace(go.Scatter(x=dfEconomy.Date, y=dfEconomy['GDP per capita growth (annual %)'], name='GDP per capita', mode='lines+markers', line={'color': 'cyan', 'width': 2}))
fig3.add_trace(go.Scatter(x=dfEconomy.Date, y=dfEconomy['GNI growth (annual %)'], name='GNI', mode='lines+markers', line={'color': 'green', 'width': 2}))
fig3.update_layout(
    title="Nominal and Constant GDP and GNI Growth Rates",
    xaxis_title="Year",
    yaxis_title="Percentage %"
)
fig3.show()


fig4 = go.Figure()
fig4.add_trace(go.Scatter(x=dfEconomy.Date, y=dfEconomy['GDP, PPP (current international $)'], name='GDP PPP', line={'color': '#54518a', 'width': 2}))
fig4.add_trace(go.Scatter(x=dfEconomy.Date, y=dfEconomy['GDP, PPP (constant 2017 international $)'], name='GDP PPP (Constant 2017)', line={'color': '#050157', 'width': 2}))
fig4.update_layout(
    xaxis = dict(
        tickmode = 'linear',
        range = [1990, 2022],
        dtick = 5
    ),
    yaxis = dict(
        tickmode = 'linear',
        range = [0, 1400000000000],
        dtick = 100000000000,
        separatethousands= True
    ),
    title="Nominal and Constant GDP based on Purchasing Power Parity",
    xaxis_title="Year",
    yaxis_title="Value in USD $"
)
fig4.show()


fig5 = go.Figure()
fig5.add_trace(go.Scatter(x=dfEconomy.Date, y=dfEconomy['GDP, PPP Growth (annual %)'], name='GDP', mode='lines+markers', line={'color': '#54518a', 'width': 2}))
fig5.update_layout(
    xaxis = dict(
        tickmode = 'linear',
        range = [1990, 2022],
        dtick = 5
    ),
    title="GDP PPP Growth Rate",
    xaxis_title="Year",
    yaxis_title="Percentage %"
)
fig5.show()


fig6 = go.Figure()
fig6.add_trace(go.Scatter(x=dfEconomy.Date, y=dfEconomy['External debt stocks, total (DOD, current US$)'], name='External Debt', line={'color': 'red', 'width': 2}))
fig6.update_layout(
    xaxis = dict(
        tickmode = 'linear',
        range = [1970, 2022],
        dtick = 10
    ),
    title="External Debt (Nominal)",
    xaxis_title="Year",
    yaxis_title="Value in USD $"
)
fig6.show()


fig7 = go.Figure()
fig7.add_trace(go.Scatter(x=dfEconomy.Date, y=dfEconomy['External debt (% of GDP)'], name='External Debt', line={'color': 'red', 'width': 2}))
fig7.update_layout(
    xaxis = dict(
        tickmode = 'linear',
        range = [1970, 2022],
        dtick = 10
    ),
    title="External Debt % of GDP",
    xaxis_title="Year",
    yaxis_title="Percentage %"
)
fig7.show()


fig8 = go.Figure()
fig8.add_trace(go.Scatter(x=dfEconomy.Date, y=dfEconomy['Inflation, consumer prices (annual %)'], name= 'Inflation', line={'color': 'firebrick', 'width': 2}))
fig8.update_layout(
    title="Inflation of PKR",
    xaxis_title="Year",
    yaxis_title="Percentage %")
fig8.show()


fig9 = go.Figure()
fig9.add_trace(go.Scatter(x=dfEconomy.Date, y=dfEconomy['Exports of goods and services (BoP, current US$)'], name= 'Exports', line={'color': '#067d00', 'width': 2}))
fig9.add_trace(go.Scatter(x=dfEconomy.Date, y=dfEconomy['Exports of goods and services (constant 2015 US$)'], name= 'Exports (Constant 2015)', line={'color': '#1c421b', 'width': 2}))
fig9.add_trace(go.Scatter(x=dfEconomy.Date, y=dfEconomy['Imports of goods and services (BoP, current US$)'], name= 'Imports', line={'color': '#d4b361', 'width': 2}))
fig9.add_trace(go.Scatter(x=dfEconomy.Date, y=dfEconomy['Imports of goods and services (constant 2015 US$)'], name= 'Imports (Constant 2015)', line={'color': '#9c8141', 'width': 2}))
fig9.update_layout(
    title="Nominal and Constant Exports and Imports",
    xaxis_title="Year",
    yaxis_title="Value in USD $")
fig9.show()


fig10 = go.Figure()
fig10.add_trace(go.Scatter(x=dfEconomy.Date, y=dfEconomy['Exports of goods and services (annual % growth)'], name= 'Exports', line={'color': '#1c421b', 'width': 2}))
fig10.add_trace(go.Scatter(x=dfEconomy.Date, y=dfEconomy['Imports of goods and services (annual % growth)'], name= 'Imports', line={'color': '#9c8141', 'width': 2}))
fig10.update_layout(
    title="Exports and Imports Growth Rate",
    xaxis_title="Year",
    yaxis_title="Percentage %")
fig10.show()

	Date	GDP (current US$)	GDP (constant 2015 US$)	GDP growth (annual %)	GDP per capita (current US$)	GDP per capita (constant 2015 US$)	GDP per capita growth (annual %)	GDP, PPP (current international $)	GDP, PPP (constant 2017 international $)	GNI (current US$)	GNI (constant 2015 US$)	GNI growth (annual %)	Exports of goods and services (BoP, current US$)	Exports of goods and services (constant 2015 US$)	Exports of goods and services (annual % growth)	Imports of goods and services (BoP, current US$)	Imports of goods and services (constant 2015 US$)	Imports of goods and services (annual % growth)	Inflation, consumer prices (annual %)	External debt stocks, total (DOD, current US$)	External debt (% of GDP)	GDP, PPP Growth (annual %)
0	1960	3.749265e+09	1.705191e+10	NaN	81.586947	371.062860	NaN	NaN	NaN	3.743806e+09	1.702708e+10	NaN	3.711538e+08	1.688032e+09	NaN	2.485962e+09	1.130632e+10	NaN	6.947368	NaN	NaN	NaN
1	1961	4.118648e+09	1.807286e+10	5.987346	87.517372	384.031276	3.494938	NaN	NaN	4.113188e+09	1.804891e+10	6.001208	3.962018e+08	1.738556e+09	2.993079	2.703655e+09	1.186379e+10	4.930638	1.640420	NaN	NaN	NaN
2	1962	4.310164e+09	1.888304e+10	4.482859	89.493336	392.074799	2.094497	NaN	NaN	4.304914e+09	1.886004e+10	4.494103	4.090443e+08	1.792044e+09	3.076539	2.729544e+09	1.195827e+10	0.796334	-0.516462	NaN	NaN	NaN
3	1963	4.630827e+09	2.052376e+10	8.688832	93.883886	416.092027	6.125675	NaN	NaN	4.618647e+09	2.046978e+10	8.535162	5.619018e+08	2.490341e+09	38.966518	3.176099e+09	1.407642e+10	17.712905	1.456488	NaN	NaN	NaN
4	1964	5.204956e+09	2.207736e+10	7.569757	102.961207	436.720611	4.957698	NaN	NaN	5.191096e+09	2.201857e+10	7.566232	5.723116e+08	2.427519e+09	-2.522625	3.537682e+09	1.500545e+10	6.599837	4.179587	NaN	NaN	NaN
5	1965	5.929231e+09	2.437768e+10	10.419366	114.372019	470.233701	7.673805	NaN	NaN	5.904242e+09	2.427494e+10	10.247571	5.937100e+08	2.441003e+09	0.555479	4.105651e+09	1.688014e+10	12.493420	5.568635	NaN	NaN	NaN
6	1966	6.561109e+09	2.578914e+10	5.789952	123.330471	484.763527	3.089916	NaN	NaN	6.530659e+09	2.566945e+10	5.744658	6.875562e+08	2.702513e+09	10.713203	3.989464e+09	1.568101e+10	-7.103777	7.227622	NaN	NaN	NaN
7	1967	7.464511e+09	2.718191e+10	5.400613	136.638093	497.565621	2.640895	NaN	NaN	7.414512e+09	2.699984e+10	5.182761	7.780730e+08	2.833341e+09	4.841005	4.900859e+09	1.784641e+10	13.809021	6.811400	NaN	NaN	NaN
8	1968	8.041999e+09	2.914803e+10	7.233221	143.287946	519.343746	4.376935	NaN	NaN	7.976001e+09	2.890882e+10	7.070367	8.342945e+08	3.023881e+09	6.724890	5.249102e+09	1.902524e+10	6.605467	0.170627	NaN	NaN	NaN
9	1969	8.683116e+09	3.075348e+10	5.507900	150.547804	533.203577	2.668720	NaN	NaN	8.608118e+09	3.048785e+10	5.462100	9.311302e+08	3.297836e+09	9.059728	4.491420e+09	1.590751e+10	-16.387338	3.186987	NaN	NaN	NaN
10	1970	1.002751e+10	3.424506e+10	11.353462	169.124000	577.577323	8.322102	NaN	NaN	9.933511e+09	3.392405e+10	11.270708	1.118591e+09	3.820114e+09	15.836999	6.893466e+09	2.354196e+10	47.992689	5.349841	3.406743e+09	33.973965	NaN
11	1971	1.066590e+10	3.440546e+10	0.468373	175.198920	565.146954	-2.152157	NaN	NaN	1.060271e+10	3.420163e+10	0.818254	1.194777e+09	3.854044e+09	0.888187	6.567159e+09	2.118398e+10	-10.016073	4.730691	3.795845e+09	35.588613	NaN
12	1972	9.415016e+09	3.468531e+10	0.813406	150.617211	554.880102	-1.816669	NaN	NaN	9.280297e+09	3.418900e+10	-0.036931	8.663720e+08	3.191751e+09	-17.184375	3.920867e+09	1.444464e+10	-31.813375	5.183238	4.072099e+09	43.251106	NaN
13	1973	6.383429e+09	3.713558e+10	7.064264	99.297932	577.665326	4.106333	NaN	NaN	6.304784e+09	3.667805e+10	7.280269	5.801770e+08	3.375178e+09	5.746911	2.204229e+09	1.282309e+10	-11.225944	23.070084	4.566896e+09	71.542984	NaN
14	1974	8.899192e+09	3.845025e+10	3.540192	134.532180	581.265753	0.623272	NaN	NaN	8.825592e+09	3.813225e+10	3.964748	6.462350e+08	2.792152e+09	-17.273927	3.431544e+09	1.482648e+10	15.623299	26.663035	5.121326e+09	57.548218	NaN
15	1975	1.123061e+10	4.006955e+10	4.211416	164.848096	588.159566	1.186000	NaN	NaN	1.113531e+10	3.972953e+10	4.188789	8.729413e+08	3.114557e+09	11.546830	3.891331e+09	1.388383e+10	-6.357856	20.904509	5.752877e+09	51.224991	NaN
16	1976	1.316808e+10	4.213561e+10	5.156190	187.496907	599.958055	2.006001	NaN	NaN	1.302388e+10	4.167419e+10	4.894763	1.449756e+09	3.555345e+09	14.152517	2.643865e+09	1.485010e+10	6.959644	7.158324	6.802352e+09	51.657882	NaN
17	1977	1.512606e+10	4.379899e+10	3.947698	208.776120	604.531768	0.762339	NaN	NaN	1.494521e+10	4.327532e+10	3.842014	1.438288e+09	2.930241e+09	-17.582100	2.993491e+09	1.643440e+10	10.668627	10.132968	7.564124e+09	50.007233	NaN
18	1978	1.781152e+10	4.732417e+10	8.048534	238.155833	632.766351	4.670488	NaN	NaN	1.763026e+10	4.684258e+10	8.243173	1.805675e+09	3.304059e+09	12.757248	3.855733e+09	1.755601e+10	6.824757	6.138693	8.329289e+09	46.763506	NaN
19	1979	1.968838e+10	4.910282e+10	3.758436	254.347761	634.343194	0.249198	NaN	NaN	1.945476e+10	4.852016e+10	3.581310	2.503913e+09	3.743810e+09	13.309419	5.100890e+09	2.286609e+10	30.246484	8.267047	8.918891e+09	45.300268	NaN
20	1980	2.365444e+10	5.411902e+10	10.215704	293.391890	671.251494	5.818349	NaN	NaN	2.337231e+10	5.347352e+10	10.208870	3.232901e+09	4.474111e+09	19.506883	6.347873e+09	2.378178e+10	4.004601	11.938231	9.931199e+09	41.984493	NaN
21	1981	2.810061e+10	5.840566e+10	7.920764	333.458392	693.076044	3.251322	NaN	NaN	2.783846e+10	5.786081e+10	8.204600	3.389497e+09	5.290494e+09	18.246841	6.601898e+09	1.881328e+10	-20.892062	11.879914	1.058077e+10	37.653165	NaN
22	1982	3.072597e+10	6.222392e+10	6.537487	349.841762	708.473153	2.221561	NaN	NaN	3.040362e+10	6.157111e+10	6.412473	3.154730e+09	4.973868e+09	-5.984815	6.721840e+09	1.872425e+10	-0.473207	5.903529	1.170399e+10	38.091535	NaN
23	1983	2.869189e+10	6.644169e+10	6.778378	315.017266	729.484209	2.965681	NaN	NaN	2.826895e+10	6.546229e+10	6.319800	3.662621e+09	6.196074e+09	24.572534	6.607695e+09	2.080395e+10	11.106973	6.362033	1.202622e+10	41.915062	NaN
24	1984	3.115183e+10	6.980710e+10	5.065206	331.388766	742.598190	1.797706	NaN	NaN	3.070697e+10	6.881024e+10	5.114330	3.286531e+09	5.967308e+09	-3.692100	7.355744e+09	2.230861e+10	7.232582	6.087167	1.222789e+10	39.252547	NaN
25	1985	3.114492e+10	7.510694e+10	7.592115	320.679810	773.329248	4.138316	NaN	NaN	3.063643e+10	7.388069e+10	7.368739	3.509102e+09	5.945824e+09	-0.360031	7.090127e+09	2.429777e+10	8.916550	5.614839	1.346488e+10	43.232996	NaN
26	1986	3.189907e+10	7.923906e+10	5.501654	317.029798	787.519613	1.834971	NaN	NaN	3.125540e+10	7.749968e+10	4.898425	4.035983e+09	7.896553e+09	32.808379	7.200329e+09	2.369972e+10	-2.461337	3.506414	1.495441e+10	46.880387	NaN
27	1987	3.335153e+10	8.435184e+10	6.452343	319.915392	809.121840	2.743072	NaN	NaN	3.265316e+10	8.241636e+10	6.344130	4.928011e+09	8.843321e+09	11.989638	7.570955e+09	2.417180e+10	1.991929	4.681219	1.679767e+10	50.365517	NaN
28	1988	3.847274e+10	9.078390e+10	7.625279	356.335215	840.842056	3.920326	NaN	NaN	3.763885e+10	8.864327e+10	7.555432	5.282184e+09	8.461946e+09	-4.312569	8.623660e+09	2.334876e+10	-3.404947	8.837937	1.706517e+10	44.356508	NaN
29	1989	4.017102e+10	9.528657e+10	4.959769	359.728480	853.284151	1.479718	NaN	NaN	3.928197e+10	9.301877e+10	4.936072	6.005657e+09	9.627554e+09	13.774694	9.112948e+09	2.529190e+10	8.322199	7.844265	1.834819e+10	45.675190	NaN
30	1990	4.001042e+10	9.953500e+10	4.458587	346.668516	862.416565	1.070266	2.327968e+11	3.533440e+11	3.903798e+10	9.693854e+10	4.213955	6.834726e+09	9.735861e+09	1.124974	1.020537e+10	2.440678e+10	-3.499598	9.052132	2.066338e+10	51.644981	NaN
31	1991	4.562523e+10	1.045730e+11	5.061568	382.750576	877.264310	1.721644	2.528511e+11	3.712288e+11	4.445642e+10	1.017412e+11	4.954291	7.941736e+09	1.299399e+10	33.465230	1.099746e+10	2.260143e+10	-7.396928	11.791270	2.336332e+10	51.207007	5.061568
32	1992	4.888461e+10	1.126313e+11	7.705898	399.465049	920.377228	4.914473	2.785418e+11	3.998353e+11	4.760841e+10	1.095159e+11	7.641726	8.472574e+09	1.478989e+10	13.820981	1.239996e+10	2.957242e+10	30.843125	9.509041	2.491962e+10	50.976410	7.705898
33	1993	5.180995e+10	1.146111e+11	1.757748	412.675000	912.896796	-0.812757	2.901563e+11	4.068634e+11	5.029901e+10	1.110863e+11	1.433939	8.366369e+09	1.498472e+10	1.317358	1.201866e+10	3.396225e+10	14.844358	9.973665	2.455156e+10	47.387735	1.757748
34	1994	5.229346e+10	1.188946e+11	3.737416	404.606760	919.915416	0.768829	3.074283e+11	4.220696e+11	5.068341e+10	1.150187e+11	3.539918	8.869456e+09	1.545085e+10	3.110663	1.188476e+10	3.029795e+10	-10.789340	12.368194	2.739083e+10	52.379071	3.737416
35	1995	6.063602e+10	1.247949e+11	4.962609	455.507603	937.479237	1.909287	3.294512e+11	4.430152e+11	5.885066e+10	1.208556e+11	5.074791	1.021360e+10	1.497568e+10	-3.075315	1.418530e+10	3.150071e+10	3.969777	12.343579	3.024109e+10	49.873137	4.962609
36	1996	6.332012e+10	1.308432e+11	4.846581	461.399865	953.425408	1.700963	3.517428e+11	4.644863e+11	6.135301e+10	1.264826e+11	4.655964	1.052348e+10	1.527438e+10	1.994558	1.562253e+10	3.578274e+10	13.593456	10.373809	2.985095e+10	47.142919	4.846581
37	1997	6.243330e+10	1.321704e+11	1.014396	441.754634	935.188373	-1.912791	3.614380e+11	4.691980e+11	6.024700e+10	1.272020e+11	0.568747	9.975895e+09	1.427605e+10	-6.535973	1.340845e+10	3.442828e+10	-3.785257	11.375493	3.009512e+10	48.203642	1.014396
38	1998	6.219196e+10	1.355411e+11	2.550234	427.506327	931.706805	-0.372285	3.748273e+11	4.811637e+11	5.985318e+10	1.298858e+11	2.109860	9.155000e+09	1.345804e+10	-5.729972	1.199600e+10	3.249302e+10	-5.621130	6.228004	3.231019e+10	51.952370	2.550234
39	1999	6.297386e+10	1.405021e+11	3.660133	420.682602	938.592245	0.739014	3.940220e+11	4.987749e+11	6.116586e+10	1.360770e+11	4.766671	8.945000e+09	1.307444e+10	-2.850317	1.156500e+10	3.073793e+10	-5.401426	4.142637	3.419227e+10	54.295981	3.660133
40	2000	8.201774e+10	1.464876e+11	4.260088	531.306496	948.938556	1.102322	4.201147e+11	5.200232e+11	7.999774e+10	1.425981e+11	4.792214	9.997000e+09	1.516845e+10	16.016001	1.202600e+10	3.004631e+10	-2.250047	4.366665	3.311199e+10	40.371739	4.260088
41	2001	7.948440e+10	1.516944e+11	3.554418	499.218306	952.747891	0.401431	4.448488e+11	5.385070e+11	7.732440e+10	1.472903e+11	3.290492	1.047100e+10	1.701566e+10	12.177984	1.195200e+10	3.069417e+10	2.156206	3.148261	3.204618e+10	40.317568	3.554418
42	2002	7.990499e+10	1.554994e+11	2.508338	489.425527	952.448161	-0.031460	4.631141e+11	5.520145e+11	7.758599e+10	1.506694e+11	2.294197	1.215800e+10	1.870942e+10	9.954177	1.256600e+10	3.162925e+10	3.046429	3.290345	3.396703e+10	42.509281	2.508338
43	2003	9.176054e+10	1.644826e+11	5.777034	549.870377	985.653665	3.486332	4.995364e+11	5.839046e+11	8.954954e+10	1.602760e+11	6.375903	1.477500e+10	2.401902e+10	28.379245	1.521000e+10	3.517791e+10	11.219542	2.914135	3.666857e+10	39.961154	5.777034
44	2004	1.077597e+11	1.768959e+11	7.546860	631.471171	1036.608932	5.169693	5.516573e+11	6.279711e+11	1.055527e+11	1.730812e+11	7.989505	1.602701e+10	2.365229e+10	-1.526817	2.200700e+10	3.216049e+10	-8.577605	7.444625	3.656194e+10	33.929147	7.546860
45	2005	1.200553e+11	1.884273e+11	6.518778	688.500588	1080.604844	4.244215	6.060453e+11	6.689071e+11	1.176693e+11	1.845085e+11	6.602257	1.910500e+10	2.642603e+10	11.727160	2.927520e+10	4.487250e+10	39.526807	9.063327	3.426005e+10	28.536889	6.518778
46	2006	1.372641e+11	1.995426e+11	5.898984	770.843339	1120.585448	3.699836	6.615990e+11	7.083658e+11	1.345971e+11	1.955644e+11	5.992102	2.054000e+10	2.903976e+10	9.890712	3.509800e+10	5.325585e+10	18.682598	7.921084	3.743078e+10	27.269174	5.898984
47	2007	1.523857e+11	2.091862e+11	4.832817	837.631538	1149.851392	2.611666	7.123169e+11	7.425999e+11	1.488037e+11	2.041747e+11	4.402776	2.194600e+10	2.947818e+10	1.509728	3.758600e+10	5.108819e+10	-4.070269	7.598684	4.230609e+10	27.762503	4.832817
48	2008	1.700778e+11	2.127453e+11	1.701405	914.731489	1144.210357	-0.490588	7.383305e+11	7.552345e+11	1.661548e+11	2.078602e+11	1.805072	2.547250e+10	2.813631e+10	-4.552083	4.792900e+10	5.408293e+10	5.861904	20.286121	4.982630e+10	29.296179	1.701405
49	2009	1.681528e+11	2.187695e+11	2.831659	884.441014	1150.672105	0.564734	7.641038e+11	7.766202e+11	1.637458e+11	2.130407e+11	2.492313	2.231300e+10	2.719060e+10	-3.361179	3.515143e+10	4.548065e+10	-15.905721	13.647765	5.666292e+10	33.697286	2.831659
50	2010	1.771656e+11	2.222844e+11	1.606689	911.090445	1143.117978	-0.656497	7.857111e+11	7.890980e+11	1.738836e+11	2.181474e+11	2.397036	2.805600e+10	3.146160e+10	15.707660	4.001600e+10	4.745768e+10	4.346972	12.938871	6.312425e+10	35.630074	1.606689
51	2011	2.135874e+11	2.283937e+11	2.748406	1075.450496	1150.002831	0.602287	8.240791e+11	8.107856e+11	2.105704e+11	2.251278e+11	3.199846	3.143300e+10	3.220793e+10	2.372198	4.715100e+10	4.740107e+10	-0.119291	11.916093	6.474256e+10	30.311974	2.748406
52	2012	2.243836e+11	2.364036e+11	3.507033	1109.679115	1169.123158	1.662633	8.470947e+11	8.392202e+11	2.211386e+11	2.329939e+11	3.494090	3.137400e+10	2.737647e+10	-15.000842	4.890200e+10	4.593374e+10	-3.095572	9.682352	6.366952e+10	28.375298	3.507033
53	2013	2.312186e+11	2.467969e+11	4.396457	1126.041261	1201.908371	2.804257	8.833753e+11	8.761161e+11	2.275496e+11	2.429033e+11	4.253064	3.004300e+10	3.109442e+10	13.580834	4.916700e+10	4.676518e+10	1.810099	7.692156	6.008782e+10	25.987455	4.396457
54	2014	2.443609e+11	2.583340e+11	4.674708	1173.392454	1240.489561	3.209994	9.317307e+11	9.170720e+11	2.404059e+11	2.541608e+11	4.634549	3.059400e+10	3.063417e+10	-1.480176	5.114100e+10	4.688412e+10	0.254337	7.189384	6.420272e+10	26.273730	4.674708
55	2015	2.705561e+11	2.705561e+11	4.731147	1282.443153	1282.443153	3.382019	9.815578e+11	9.604600e+11	2.659571e+11	2.659571e+11	4.641291	2.860400e+10	2.869089e+10	-6.343528	4.862200e+10	4.613053e+10	-1.607358	2.529328	6.861419e+10	25.360426	4.731147
56	2016	3.136299e+11	2.855091e+11	5.526736	1468.821421	1337.123374	4.263754	1.010730e+12	1.013542e+12	3.082849e+11	2.805833e+11	5.499429	2.686921e+10	2.823088e+10	-1.603304	5.190611e+10	5.352149e+10	16.021858	3.765119	7.505215e+10	23.930166	5.526736
57	2017	3.392056e+11	2.981646e+11	4.432626	1567.640986	1377.969674	3.054789	1.058469e+12	1.058469e+12	3.341916e+11	2.936706e+11	4.664352	2.949144e+10	2.892856e+10	2.471341	6.449806e+10	6.368181e+10	18.983621	4.085374	9.166207e+10	27.022568	4.432626
58	2018	3.561282e+11	3.165068e+11	6.151703	1620.742857	1440.425395	4.532445	1.150425e+12	1.123582e+12	3.506912e+11	3.115869e+11	6.100812	3.077489e+10	3.183317e+10	10.040608	6.842288e+10	7.370106e+10	15.733289	5.078057	9.922396e+10	27.861863	6.151703
59	2019	3.209095e+11	3.244120e+11	2.497637	1437.165907	1452.851573	0.862674	1.200250e+12	1.151645e+12	3.152995e+11	3.186270e+11	2.259429	3.067015e+10	3.602634e+10	13.172326	5.797608e+10	7.931113e+10	7.611928	10.578362	1.078829e+11	33.617870	2.497637
60	2020	3.004257e+11	3.202787e+11	-1.274087	1322.315036	1409.697601	-2.970295	1.199240e+12	1.136973e+12	2.949667e+11	3.142941e+11	-1.359869	2.733307e+10	3.657228e+10	1.515410	5.209794e+10	7.529519e+10	-5.063519	9.739993	1.156953e+11	38.510473	-1.274087
61	2021	3.482625e+11	3.410555e+11	6.487087	1505.010193	1473.864900	4.551848	1.330101e+12	1.210729e+12	3.438625e+11	3.365756e+11	7.089386	3.556588e+10	3.895724e+10	6.521199	7.639213e+10	8.620243e+10	14.485972	9.496211	1.304331e+11	37.452508	6.487087
62	2022	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	3.856314e+10	NaN	NaN	7.589625e+10	NaN	NaN	19.873860	NaN	NaN	NaN

GDP and GNI¶

Debt and Inflation¶

Imports and Exports¶